Overview

ExeonTrace Xlog is an advanced analytics module designed to transform traditional Network Detection & Response (NDR) into a comprehensive Extended Detection & Response (XDR) solution. By integrating log data from various sources—including endpoints, cloud services, and host-based applications—Xlog provides unified monitoring, detection, and response capabilities. Leveraging artificial intelligence and prebuilt detection scenarios, it enhances cybersecurity by enabling cross-data threat detection and offering a consolidated view of the entire IT infrastructure. This unified approach allows security teams to detect threats more efficiently, reduce false positives, and respond swiftly to incidents.

Features and Capabilities

• Cross-Data Threat Detection: Integrates and analyzes log data from networks, endpoints, and applications to identify anomalies and threats across the IT landscape.
• Artificial Intelligence Integration: Utilizes AI for automated anomaly detection, enhancing the accuracy and speed of threat identification.
• Unified Visibility: Provides high-level graph visualizations and consolidated views for comprehensive monitoring of all assets.
• Enhanced Storage Efficiency: Employs a graph database to reduce raw logs to security-relevant information, optimizing storage and speeding up data retrieval.
• Customizable Detection Algorithms: Offers out-of-the-box and tailor-made detection algorithms to suit specific organizational needs.
• Improved Alerting Mechanism: Combines host-based and network-based detection results to minimize false alarms and generate high-quality alerts.
• Streamlined Incident Response: Facilitates quick detection and response to threats, reducing the workload on security teams and improving overall cyber resilience.